Optimal control of state-of-charge of superconducting magnetic energy storage for wind power system

被引：31
作者：
Zhang, Kun [1 ]
Mao, Chengxiong [1 ]
Lu, Jiming [1 ]
Wang, Dan [1 ]
Chen, Xun [2 ]
Zhang, Junfeng [2 ]
机构：
[1] Huazhong Univ Sci & Technol, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Hu Bei, Peoples R China
[2] Guangdong Power Grid Corp, Elect Power Res Inst, Guangzhou 510080, Guangdong, Peoples R China
来源：
IET RENEWABLE POWER GENERATION | 2014年 / 8卷 / 01期
基金：
中国国家自然科学基金;
关键词：
energy storage; fuzzy control; optimal control; power generation control; power generation economics; superconducting materials; technological forecasting; wind power plants; wind turbines; superconducting magnetic energy storage; wind power system; state-of-charge; power fluctuations; wind turbine; economical performance; technical performance; control strategy; SMES; wind forecasting technology; SOC monitoring; double fuzzy logic control strategy; INTEGRATION;
D O I：
10.1049/iet-rpg.2013.0003
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The optimal control of state-of-charge (SOC) for superconducting magnetic energy storage (SMES), which is used to smooth power fluctuations from wind turbine, is essential to improve its technical and economical performance. Without an efficient control strategy, the SMES may go to the state of over-charge or deep-discharge, which will pose a significant effect on its service life and its technical performance. In this study, combined with wind forecasting technology and real-time monitoring of SOC for the SMES, a double fuzzy logic control strategy is proposed that is applied to regulate SOC of SMES with the purpose of not only effectively smoothing the power fluctuations of wind turbine, but also preventing the SMES from occurring of the state of over-charge/deep-discharge and adjusting it to the appropriate SOC. The effectiveness of the proposed control strategy is verified by the simulation results.
引用
收藏
页码：58 / 66
页数：9
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